Wavelet-Based Filtering Method for Sleep EEG Signal
In this paper, in accordance with several common signal interference in sleep EEG detection, it is processed by wavelet transform. It mainly includes: ①.remove white noise from EEG using wavelet threshold method; ②.remove baseline drift from EEG using wavelet decomposition and reconstruction method; ③.remove sharp pulse interference using wavelet modulus maximum algorithm; ④.remove EMG from EEG using wavelet decomposition and reconstruction as well as modulus maximum method. The results of simulation study show that: it can filter a variety of common interference in EEG detection preferably by wavelet transform.
H. Qiang et al., "Wavelet-Based Filtering Method for Sleep EEG Signal", Applied Mechanics and Materials, Vols. 130-134, pp. 2160-2165, 2012